Abstract:
Dermatoglyphics is the scientic discipline that studies the patterns and characteristics of
ngerprints. When it comes to criminal justice and medical law, ngerprints are crucial. The
analysis and comparison of unknown prints found at a crime scene with known prints of
witnesses, victims, and possible perpetrators can greatly aid investigators and analysts in their
pursuit of justice. Objectives: To identify ngerprint patterns and determine its association
with gender among medical students of Peshawar. Methods: This cross-sectional descriptive
st study was conducted on students of Peshawar Medical College, Peshawar from 1 December
st 2021 to 1 June 2022. After a multi-stage proportional sampling process, a total of 300 students
were included in the study, with 120 females and 180 males. After obtaining written agreement
and adhering to stringent inclusion and exclusion criteria, students' ngerprints were placed on
white paper using a stamp pad. The paper already bore the students' names, ages, sexes, and
professional years. Statistical analysis was conducted using SPSS version 25.0, with descriptive
and inferential statistics applied as necessary. Results: The most common ngerprint pattern
was the loop pattern, followed by the whorl pattern at 30.33 percent. The average age of the
participants in the study was 21.54 ± 2.33 years, with a male-to-female ratio of 1.5:1. All of the
ngerprint patterns showed no signicant association with gender. Conclusions: The study
found that Loop ngerprints were more common than other ngerprints. Also, there is no
statistically signicant association between gender and ngerprints.